SAP Business Warehouse, or SAP BW (formerly SAP NetWeaver Business Warehouse) is SAP's legacy data warehouse solution, now superseded by SAP BW/4HANA, and the SAP Data Warehouse Cloud which was launched in 2019.
SAP BW versions up to 7.4 have reached end of maintenance. SAP BW 7.5 support is extended to align with SAP Business Suite with NetWeaver components. For existing customers maintenance is scheduled to continue through 2027, with extended support available through 2030.
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SAP Datasphere
Score 8.5 out of 10
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SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…
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Snowflake
Score 8.7 out of 10
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The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.
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Pricing
SAP Business Warehouse
SAP Datasphere
Snowflake
Editions & Modules
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Offerings
Pricing Offerings
SAP BW
SAP Datasphere
Snowflake
Free Trial
No
Yes
Yes
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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SAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
The word "against" would not be the right word to describe this question. These applications coexist and interact, as all of them play a specific role in the SAP landscape. The use of any of these applications should be aligned with the data strategy in an Organization.
Coordination and integration with other SAP software and products, as well as its speed and simplicity in reporting, make it one of our current choices
Unlike SAP Data Warehouse Cloud, Snowflake does not offer tons of pre-integrated services which makes it overwhelming to model and visualize data from on-premise platforms.
Compared to the SAP Business Warehouse, the DWC can be operated with the SAC in a cloud environment on the Business Technology Platform. Thus, a single point of entry or single point of truth is given in the DWC, and reporting in the SAC is possible. The complete corporate …
SAP Datasphere has robust backend integration tools that makes it easy to integrate non-SAP unlike alternatives such as Snowflake.
Verified User
Employee
Chose SAP Datasphere
SAP BW was the old world tool from on on-prem world. It lacks the cloud tool integration. Very limited scalability option. Even with robust modelling options, AIML scenarios were not possible. It was a tool for the past. Now DSP has evolved and taken over the place of BW in all …
Snowflake, Databricks, Azure Data Factory... why do we choose? Strong SAP landscape, single source of truth for sensitive data, cloud capabilities, etc.
Microsoft Asure database is the source for Databricks dataproduct for one of our projects. SAP Datasphere uses this source to develop Graphical view combined with the other data products to get the reports from Analytical Models. Also data is combined from various source in SAP …
SAC with SAP Datasphere works like a charm, and it uses the Live connectivity. Negative side:-Clients cannot use SAC for regulatory reports, or they have to download the entire Data for sending it to government agencies.
SAP Datasphere is an exciting way to modernize our data stack, and what clinched it for us was how deep we're already in with SAP - it only made sense to try and leverage the synergies between Datasphere and our other SAP products.
Although Oracle Database is a great tool as well but considering the product features of SAP Data Warehouse Cloud, it was clear SAP is the future and provides the on point features required for a growing company and a ever scaling business with real time capabilities of …
SAP B/4 HANA, SAP Native HANA can be used to evaluate the client. I think the Native HANA or enter Prise HANA is the best fit in place to SAP Data Warehouse Cloud. [I feel] Native HANA has much more fixability in place of SAP Data Warehouse Cloud
SAP Analytics Cloud is another niche tool in the market and initially, there were confusions [about] what SAP Data Warehouse Cloud and SAC can do. Now there is clear segregation and the combination is more powerful. SAP Data Warehouse Cloud is much more powerful than SAC in …
While Snowflake is more open to cloud eco system, SAP integrated well with SAP eco system products like SAP ECC or SAP S/4. So for people who have invested heavily in SAP eco system including SAP ECC or S/4, it makes sense to go with SAP DWC which is also evolving very rapidly. …
SAP BW is best for: 1. Large enterprises 2. Enterprises with 3+ legacy systems with entrenched users (politically difficult to merge) 3. Enterprises with employees who can understand both the technical capabilities of SAP BW and the needs of the business users - ability to speak both languages, otherwise the program could be unwieldy and potentially underutilized (it's not particularly inexpensive) SAP BW is less appropriate for: 1. Small enterprises 2. Enterprises who have well established, same location, CRM and UFS - the integration of data analysis will be easier and less expensive with other solutions 3. HANA
SAP Datasphere is well suited for scalable cloud based data integration scenarios which also opens up the doors for AI driven insights which are much harder to achieve with on-prem data warehouses. Considering the licensing model of SAP Datasphere being based on consumption driven capacity units cost can be a big consideration for organizations with large volumes of data that can be a pre-requisite for data mining and AI use cases. So this can be a bottleneck or not so well adopted scenario for SAP Datasphere.
Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
Snowflake manages concurrency better in our trials than other premium competitors
Snowflake has little to no setup and ramp up time
Snowflake offers online training for various employee types
Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
We are moving into using SAP datasphere heavily and replacing all of the SAP HANA native calc view logic to the sap datasphere graphical view which will reduce the legacy SAP BW data warehouse. Also need some more features such as debugging, sql preview and prompts enhancements so that we can generate the reports.
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
The overall usability is robust. The tool offers lot of native feature to achieve all the data warehousing functions. Starting from data modelling to reporting and authorisation, the tool provided native features for almost all the areas of analytics. Integration of hybrid modelling with hana studio opened the usage of sql functions with the sap analytics
It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
SAP Business Warehouse scores higher in data warehouse functionalities for integration to SAP ERP and other SAP solutions such as SAP CRM, SAP APO, and SAP SRM. Standard SAP data source extractors which are available in SAP ERP can be used immediately for full or delta replication into SAP Business Warehouse. System governance in SAP Business Warehouse is top-notch with change management support for migration between system landscape from the development system to production system.
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service
Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.
Positive - This tool report output is in Excel so it's a good tool if your users are familiar with Excel.
Positive: this tool has rich BI content so developing extractors for standard processes from SAP ECC can be done in minutes.
Negative: It lacks lot of features which are available in other newer tools today. For ex. - rich charts, rich filtering, exporting capabilities, user interface.
Negative: Its not a plug and play tool like Qlikview, Lumira, or Tableau. Even a single report development in this tool takes a lot of time compared to others.
Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.